<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Correia, Barbara</style></author><author><style face="normal" font="default" size="100%">Valledor, Luis</style></author><author><style face="normal" font="default" size="100%">Meijón, Mónica</style></author><author><style face="normal" font="default" size="100%">Rodriguez, José Luis</style></author><author><style face="normal" font="default" size="100%">Dias, Maria Celeste</style></author><author><style face="normal" font="default" size="100%">Santos, Conceição</style></author><author><style face="normal" font="default" size="100%">Cañal, Maria Jesus</style></author><author><style face="normal" font="default" size="100%">Rodriguez, Roberto</style></author><author><style face="normal" font="default" size="100%">Pinto, Glória</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Is the Interplay between Epigenetic Markers Related to the Acclimation of Cork Oak Plants to High Temperatures?</style></title><secondary-title><style face="normal" font="default" size="100%">PLoS ONE</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Acclimatization</style></keyword><keyword><style  face="normal" font="default" size="100%">Acclimatization: genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">Acetylation</style></keyword><keyword><style  face="normal" font="default" size="100%">Blotting</style></keyword><keyword><style  face="normal" font="default" size="100%">CHROMATIN</style></keyword><keyword><style  face="normal" font="default" size="100%">CORK oak (citation</style></keyword><keyword><style  face="normal" font="default" size="100%">Deoxycytidine</style></keyword><keyword><style  face="normal" font="default" size="100%">Deoxycytidine: analogs &amp; derivatives</style></keyword><keyword><style  face="normal" font="default" size="100%">Deoxycytidine: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">DNA</style></keyword><keyword><style  face="normal" font="default" size="100%">DNA methylation</style></keyword><keyword><style  face="normal" font="default" size="100%">Electrolytes</style></keyword><keyword><style  face="normal" font="default" size="100%">Electrolytes: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Epigenesis</style></keyword><keyword><style  face="normal" font="default" size="100%">Gene expression</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetic</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetic Markers</style></keyword><keyword><style  face="normal" font="default" size="100%">Genome</style></keyword><keyword><style  face="normal" font="default" size="100%">Heat-Shock Response</style></keyword><keyword><style  face="normal" font="default" size="100%">Heat-Shock Response: genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">Histones</style></keyword><keyword><style  face="normal" font="default" size="100%">Histones: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Physiological</style></keyword><keyword><style  face="normal" font="default" size="100%">Physiological: genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">Plant</style></keyword><keyword><style  face="normal" font="default" size="100%">Plant Leaves</style></keyword><keyword><style  face="normal" font="default" size="100%">Plant Leaves: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Plant: genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">POST-translational modification</style></keyword><keyword><style  face="normal" font="default" size="100%">Quercus</style></keyword><keyword><style  face="normal" font="default" size="100%">Quercus: genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">Quercus: physiology</style></keyword><keyword><style  face="normal" font="default" size="100%">Random Amplified Polymorphic DNA Technique</style></keyword><keyword><style  face="normal" font="default" size="100%">Stress</style></keyword><keyword><style  face="normal" font="default" size="100%">tags)</style></keyword><keyword><style  face="normal" font="default" size="100%">Temperature</style></keyword><keyword><style  face="normal" font="default" size="100%">TREES -- Research</style></keyword><keyword><style  face="normal" font="default" size="100%">Western</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3543447&amp;tool=pmcentrez&amp;rendertype=abstracthttp://dx.doi.org/10.1371/journal.pone.0053543</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">8</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Trees necessarily experience changes in temperature, requiring efficient short-term strategies that become crucial in environmental change adaptability. DNA methylation and histone posttranslational modifications have been shown to play a key role in both epigenetic control and plant functional status under stress by controlling the functional state of chromatin and gene expression. Cork oak (Quercus suber L.) is a key stone of the Mediterranean region, growing at temperatures of 45°C. This species was subjected to a cumulative temperature increase from 25°C to 55°C under laboratory conditions in order to test the hypothesis that epigenetic code is related to heat stress tolerance. Electrolyte leakage increased after 35°C, but all plants survived to 55°C. DNA methylation and acetylated histone H3 (AcH3) levels were monitored by HPCE (high performance capillary electrophoresis), MS-RAPD (methylation-sensitive random-amplified polymorphic DNA) and Protein Gel Blot analysis and the spatial distribution of the modifications was assessed using a confocal microscope. DNA methylation analysed by HPCE revealed an increase at 55°C, while MS-RAPD results pointed to dynamic methylation-demethylation patterns over stress. Protein Gel Blot showed the abundance index of AcH3 decreasing from 25°C to 45°C. The immunohistochemical detection of 5-mC (5-methyl-2′-deoxycytidine) and AcH3 came upon the previous results. These results indicate that epigenetic mechanisms such as DNA methylation and histone H3 acetylation have opposite and particular dynamics that can be crucial for the stepwise establishment of this species into such high stress (55°C), allowing its acclimation and survival. This is the first report that assesses epigenetic regulation in order to investigate heat tolerance in forest trees.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;publisher: Public Library of Science&lt;br/&gt;accession-num: 23326451</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Almeida, Tânia</style></author><author><style face="normal" font="default" size="100%">Pinto, Glória</style></author><author><style face="normal" font="default" size="100%">Correia, Barbara</style></author><author><style face="normal" font="default" size="100%">Santos, Conceição</style></author><author><style face="normal" font="default" size="100%">Gonçalves, Sónia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">QsMYB1 expression is modulated in response to heat and drought stresses and during plant recovery in Quercus suber</style></title><secondary-title><style face="normal" font="default" size="100%">Plant Physiology and Biochemistry</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Abiotic stress</style></keyword><keyword><style  face="normal" font="default" size="100%">Adaptation</style></keyword><keyword><style  face="normal" font="default" size="100%">Cork oak</style></keyword><keyword><style  face="normal" font="default" size="100%">Droughts</style></keyword><keyword><style  face="normal" font="default" size="100%">Gene expression</style></keyword><keyword><style  face="normal" font="default" size="100%">Gene Expression Regulation</style></keyword><keyword><style  face="normal" font="default" size="100%">Genes</style></keyword><keyword><style  face="normal" font="default" size="100%">Hot Temperature</style></keyword><keyword><style  face="normal" font="default" size="100%">Physiological</style></keyword><keyword><style  face="normal" font="default" size="100%">Plant</style></keyword><keyword><style  face="normal" font="default" size="100%">Plant Bark</style></keyword><keyword><style  face="normal" font="default" size="100%">Plant Proteins</style></keyword><keyword><style  face="normal" font="default" size="100%">Plant Proteins: genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">Plant Proteins: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Quercus</style></keyword><keyword><style  face="normal" font="default" size="100%">Quercus: genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">Quercus: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">R2R3-MYB</style></keyword><keyword><style  face="normal" font="default" size="100%">Recovery</style></keyword><keyword><style  face="normal" font="default" size="100%">RNA Splicing</style></keyword><keyword><style  face="normal" font="default" size="100%">Stress</style></keyword><keyword><style  face="normal" font="default" size="100%">Transcription Factors</style></keyword><keyword><style  face="normal" font="default" size="100%">Transcription Factors: genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">Transcription Factors: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">water</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/24161757http://www.sciencedirect.com/science/article/pii/S0981942813003537</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">73</style></volume><pages><style face="normal" font="default" size="100%">274 - 281</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Abstract Cork oak is an economically important forest species showing a great tolerance to high temperatures and shortage of water. However, the mechanisms underlying this plasticity are still poorly understood. Among the stress regulators, transcription factors (TFs) are especially important since they can control a wide range of stress-inducible genes, which make them powerful targets for genetic engineering of stress tolerance. Here we evaluated the influence of increasing temperatures (up to 55 °C) or drought (18% field capacity, FC) on the expression profile of an R2R3-MYB transcription factor of cork oak, the QsMYB1. QsMYB1 was previously identified as being preferentially expressed in cork tissues and as having an associated alternative splicing mechanism, which results in two different transcripts (QsMYB1.1 and QsMYB1.2). Expression analysis by reverse transcription quantitative PCR (RT-qPCR) revealed that increasing temperatures led to a gradual down-regulation of QsMYB1 transcripts with more effect on QsMYB1.1 abundance. On the other hand, under drought condition, expression of QsMYB1 variants, mainly the QsMYB1.2, was transiently up-regulated shortly after the stress imposition. Recovery from each stress has also resulted in a differential response by both QsMYB1 transcripts. Several physiological and biochemical parameters (plant water status, chlorophyll fluorescence, lipid peroxidation and proline content) were determined in order to monitor the plant performance under stress and recovery. In conclusion, this report provides the first evidence that QsMYB1 TF may have a putative function in the regulatory network of cork oak response to heat and drought stresses and during plant recovery.</style></abstract><notes><style face="normal" font="default" size="100%">From Duplicate 1 (QsMYB1 expression is modulated in response to heat and drought stresses and during plant recovery in Quercus suber - Almeida, Tânia; Pinto, Glória; Correia, Barbara; Santos, Conceição; Gonçalves, Sónia)From Duplicate 1 (QsMYB1 expression is modulated in response to heat and drought stresses and during plant recovery in Quercus suber - Almeida, Tânia; Pinto, Glória; Correia, Barbara; Santos, Conceição; Gonçalves, Sónia)The following values have no corresponding Zotero field:&lt;br/&gt;publisher: Elsevier Masson SAS&lt;br/&gt;accession-num: 24161757</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Marum, Liliana</style></author><author><style face="normal" font="default" size="100%">Miguel, Andreia</style></author><author><style face="normal" font="default" size="100%">Ricardo, Cândido P.</style></author><author><style face="normal" font="default" size="100%">Miguel, Célia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Reference Gene Selection for Quantitative Real-time PCR Normalization in Quercus suber</style></title><secondary-title><style face="normal" font="default" size="100%">PLoS ONE</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Cork oak</style></keyword><keyword><style  face="normal" font="default" size="100%">Gene expression</style></keyword><keyword><style  face="normal" font="default" size="100%">reference genes</style></keyword><keyword><style  face="normal" font="default" size="100%">RT-qPCR (voyant)</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1371/journal.pone.0035113</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">7</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The use of reverse transcription quantitative PCR technology to assess gene expression levels requires an accurate normalization of data in order to avoid misinterpretation of experimental results and erroneous analyses. Despite being the focus of several transcriptomics projects, oaks, and particularly cork oak (Quercus suber), have not been investigated regarding the identification of reference genes suitable for the normalization of real-time quantitative PCR data. In this study, ten candidate reference genes (Act, CACs, EF-1α, GAPDH, His3, PsaH, Sand, PP2A, ß-Tub and Ubq) were evaluated to determine the most stable internal reference for quantitative PCR normalization in cork oak. The transcript abundance of these genes was analysed in several tissues of cork oak, including leaves, reproduction cork, and periderm from branches at different developmental stages (1-, 2-, and 3-year old) or collected in different dates (active growth period versus dormancy). The three statistical methods (geNorm, NormFinder, and CV method) used in the evaluation of the most suitable combination of reference genes identified Act and CACs as the most stable candidates when all the samples were analysed together, while ß-Tub and PsaH showed the lowest expression stability. However, when different tissues, developmental stages, and collection dates were analysed separately, the reference genes exhibited some variation in their expression levels. In this study, and for the first time, we have identified and validated reference genes in cork oak that can be used for quantification of target gene expression in different tissues and experimental conditions and will be useful as a starting point for gene expression studies in other oaks.</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;publisher: Public Library of Science</style></notes></record></records></xml>